Co-occurrence Matrix Features for Fingerprint Verification
In this paper, an enhanced image-based fingerprint verification algorithm is presented that improves matching accuracy by overcoming the shortcomings of previous methods due to poor image quality. It reduces multi-spectral noise by enhancing a fingerprint image to accurately and reliably determine a reference point and then extracts a 129 X 129 block, making the reference point its center. From the 12 co-occurrence matrices, four statistical descriptors are computed. Experimental results show that the proposed method has more accurate and performance than other methods the average false acceptance rate (FAR) is 0.48％ and the average false rejection rate (FRR) is 0.18％.
Fingerprint verification Security Biometrics.
Mohammed S. Khalil Muhammad Khurram Khan Muhammad Imran Razzak
Center of Excellence in Information Assurance, King Saud University, Saudi Arabia
国际会议
厦门
英文
43-46
2011-06-24（万方平台首次上网日期，不代表论文的发表时间）